Fr. 150.00

Population Harvesting - Demographic Models of Fish, Forest, and Animal Resources

English · Paperback / Softback

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Description

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Whether in felling trees for wood, rearing insects for biological control, or culling animals for conservation purposes, efficient management of biological systems requires quantitative analysis of population growth and harvesting policies. Aiming to encourage the exchange of ideas among scientists involved in the management of fisheries, wildlife, forest stands, and pest control, the authors of this work present a general framework for modeling populations that reproduce seasonally and that have age or stage structure as an essential component of management strategy.

The book represents the first time that examples from such diverse areas of biological resource management have been brought together in a unified modeling framework using the standard notation of mathematical systems theory. In addition, the authors combine a nonlinear extension of Leslie matrix theory and certain linear elements, thereby permitting interesting analytical results and the creation of compact, realistic simulation models of resource systems.

About the author










Wayne M. Getz & Robert G. Haight

Summary

Aiming to encourage the exchange of ideas among scientists involved in the management of fisheries, wildlife, forest stands, and pest control, this work presents a general framework for modeling populations that reproduce seasonally and that have age or stage structure as an essential component of management strategy.

Product details

Authors Wayne Getz, Wayne M. Getz, Robert Haight, Robert G. Haight, Simon Haight
Assisted by Henry Getz (Editor)
Publisher University Presses
 
Languages English
Product format Paperback / Softback
Released 21.04.1989
 
EAN 9780691085166
ISBN 978-0-691-08516-6
No. of pages 408
Weight 510 g
Series Monographs in Population Biolo
Monographs in Population Biology
Subjects Natural sciences, medicine, IT, technology > Natural sciences (general)

SCIENCE / Life Sciences / Ecology, Applied ecology

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